Evidence map›Paper›PMID 41030669›Full record

ArticleRisk management and healthcare policy2025

A Quasi-Experimental Study on the Preventive Effect of Risk-Stratified Nursing Interventions for PICC-Related Thrombosis in Cancer Patients.

Chun-Jie Sun, Li Ma, Su-Yun Wang, Qiu-Yun Xue

Abstract read
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Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Chun-Jie Sun *Department of Nursing, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People's Republic of China.
Li Ma *Department of Nursing, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People's Republic of China.
Su-Yun WangDepartment of Nursing, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People's Republic of China.
Qiu-Yun XueDepartment of Nursing, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze risk factors for PICC-related thrombosis in cancer patients and assess the preventive efficacy of a risk-stratified nursing intervention based on these factors. Methods: This prospective observational cohort study evaluated the preventive effect of risk-stratified nursing on PICC-related thrombosis in cancer patients. Chemotherapy patients undergoing PICC placement in the oncology department of our hospital from January 2023 to December 2024 were enrolled. Participants were allocated into two cohorts based on the implementation timeline of the nursing protocol: Control group (n=117) received routine PICC care (January 2023-December 2023), while intervention group (n=119) received risk-stratified nursing interventions (January 2024-December 2024) guided by a logistic regression model identifying key thrombosis risk factors (eg, tumor staging, comorbid diabetes, D-dimer levels). Results: The intervention group (2024) exhibited a significantly lower PICC-related thrombosis incidence compared to the control group (2023) (4.20% vs 29.91%, χ²=28.436, P<0.001). Multivariate analysis identified tumor stage III/IV (OR=2.556, 95% CI 1.798-5.564), history of thrombosis (OR=19.273, 95% CI 10.674-37.561), diabetes (OR=2.572, 95% CI 1.027-5.712), catheter tip malposition (OR=14.339, 95% CI 8.916-29.795), and elevated D-Dimer (OR=9.528, 95% CI 6.703-15.597) as independent risk factors, while anticoagulant use (OR=0.449, 95% CI 0.089-0.874) was protective. In the intervention cohort, protocol-guided anticoagulation showed enhanced protection (OR=0.332, 95% CI 0.121-0.898, P=0.028). The intervention group also demonstrated improved quality of life across all SF-36 domains (eg, physical functioning: 58.94±1.97 vs 45.93±3.02, P<0.05) and significantly higher nursing satisfaction (96.64% vs 86.32%, χ²=8.091, P=0.004). Conclusion: Risk-stratified nursing interventions, guided by logistic regression analysis of thrombosis risk factors, significantly reduce PICC-related thrombosis incidence and improve patient quality of life and nursing satisfaction. This protocol offers a practical framework for oncology nursing to enhance patient outcomes.

Indexed as

application effectinfluencing factorsoncologyPICC catheterrisk-stratified nursingthrombosis formation

Identifiers

PMID41030669
PMCPMC12477278

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.